关键词: 高温超导托卡马克, 磁体参数设计, 遗传算法, 背景场, 临界电流

Abstract: Based on the co-simulation of two-dimensional axisymmetric finite element model of magnetic field and genetic algorithm, the iterative optimization of the magnet parameters of a compact high temperature superconducting (HTS) tokamak was performed. The length of superconducting tapes used is taken as the optimized objective function. Combined with the design indexes of given magnetic flux and background field and the critical current data of HTS tapes under different background field at 50K, the physical parameters and operating current of magnet can be optimized. Finally, the desired results were obtained with a co-simulation of optimization.

Key words: High temperature superconducting tokamak, Magnet parameter design, Genetic algorithm, Background field, Critical current